https://github.com/hereariim/blossoming

main python script location
https://github.com/hereariim/blossoming

Last synced: 4 months ago
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main python script location

• Host: GitHub
• URL: https://github.com/hereariim/blossoming
• Owner: hereariim
• License: mit
• Created: 2022-07-22T07:59:45.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-07-22T08:46:31.000Z (almost 4 years ago)
• Last Synced: 2025-07-03T09:11:39.170Z (11 months ago)
• Size: 15.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
blossoming

==============================

[![Build Status](https://jenkins.indigo-datacloud.eu/buildStatus/icon?job=Pipeline-as-code/DEEP-OC-org/blossoming/master)](https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEP-OC-org/job/blossoming/job/master)

2D image segmentation based on UNET algorithm

Project Organization

------------

    ├── LICENSE

    ├── README.md              <- The top-level README for developers using this project.

    ├── data

    │   └── raw                <- The original, immutable data dump.

    │

    ├── docs                   <- A default Sphinx project; see sphinx-doc.org for details

    │

    ├── models                 <- Trained and serialized models, model predictions, or model summaries

    │

    ├── notebooks              <- Jupyter notebooks. Naming convention is a number (for ordering),

    │                             the creator's initials (if many user development), 

    │                             and a short `_` delimited description, e.g.

    │                             `1.0-jqp-initial_data_exploration.ipynb`.

    │

    ├── references             <- Data dictionaries, manuals, and all other explanatory materials.

    │

    ├── reports                <- Generated analysis as HTML, PDF, LaTeX, etc.

    │   └── figures            <- Generated graphics and figures to be used in reporting

    │

    ├── requirements.txt       <- The requirements file for reproducing the analysis environment, e.g.

    │                             generated with `pip freeze > requirements.txt`

    ├── test-requirements.txt  <- The requirements file for the test environment

    │

    ├── setup.py               <- makes project pip installable (pip install -e .) so blossoming can be imported

    ├── blossoming    <- Source code for use in this project.

    │   ├── __init__.py        <- Makes blossoming a Python module

    │   │

    │   ├── dataset            <- Scripts to download or generate data

    │   │   └── make_dataset.py

    │   │

    │   ├── features           <- Scripts to turn raw data into features for modeling

    │   │   └── build_features.py

    │   │

    │   ├── models             <- Scripts to train models and make predictions

    │   │   └── deep_api.py    <- Main script for the integration with DEEP API

    │   │

    │   └── tests              <- Scripts to perfrom code testing

    │   │

    │   └── visualization      <- Scripts to create exploratory and results oriented visualizations

    │       └── visualize.py

    │

    └── tox.ini                <- tox file with settings for running tox; see tox.testrun.org

--------

Project based on the cookiecutter data science project template. #cookiecutterdatascience